The dynamics of Turing patterns for morphogen-regulated growing domains with cellular response delays.

Since its conception in 1952, the Turing paradigm for pattern formation has been the subject of numerous theoretical investigations. Experimentally, this mechanism was first demonstrated in chemical reactions over 20 years ago and, more recently, several examples of biological self-organisation have...

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Main Authors: Seirin Lee, S, Gaffney, E, Baker, R
Format: Journal article
Language:English
Published: 2011
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author Seirin Lee, S
Gaffney, E
Baker, R
author_facet Seirin Lee, S
Gaffney, E
Baker, R
author_sort Seirin Lee, S
collection OXFORD
description Since its conception in 1952, the Turing paradigm for pattern formation has been the subject of numerous theoretical investigations. Experimentally, this mechanism was first demonstrated in chemical reactions over 20 years ago and, more recently, several examples of biological self-organisation have also been implicated as Turing systems. One criticism of the Turing model is its lack of robustness, not only with respect to fluctuations in the initial conditions, but also with respect to the inclusion of delays in critical feedback processes such as gene expression. In this work we investigate the possibilities for Turing patterns on growing domains where the morphogens additionally regulate domain growth, incorporating delays in the feedback between signalling and domain growth, as well as gene expression. We present results for the proto-typical Schnakenberg and Gierer-Meinhardt systems: exploring the dynamics of these systems suggests a reconsideration of the basic Turing mechanism for pattern formation on morphogen-regulated growing domains as well as highlighting when feedback delays on domain growth are important for pattern formation.
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spelling oxford-uuid:3a6a0e82-03f6-4a54-b16a-d8a3641f199c2022-03-26T14:01:27ZThe dynamics of Turing patterns for morphogen-regulated growing domains with cellular response delays.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:3a6a0e82-03f6-4a54-b16a-d8a3641f199cEnglishSymplectic Elements at Oxford2011Seirin Lee, SGaffney, EBaker, RSince its conception in 1952, the Turing paradigm for pattern formation has been the subject of numerous theoretical investigations. Experimentally, this mechanism was first demonstrated in chemical reactions over 20 years ago and, more recently, several examples of biological self-organisation have also been implicated as Turing systems. One criticism of the Turing model is its lack of robustness, not only with respect to fluctuations in the initial conditions, but also with respect to the inclusion of delays in critical feedback processes such as gene expression. In this work we investigate the possibilities for Turing patterns on growing domains where the morphogens additionally regulate domain growth, incorporating delays in the feedback between signalling and domain growth, as well as gene expression. We present results for the proto-typical Schnakenberg and Gierer-Meinhardt systems: exploring the dynamics of these systems suggests a reconsideration of the basic Turing mechanism for pattern formation on morphogen-regulated growing domains as well as highlighting when feedback delays on domain growth are important for pattern formation.
spellingShingle Seirin Lee, S
Gaffney, E
Baker, R
The dynamics of Turing patterns for morphogen-regulated growing domains with cellular response delays.
title The dynamics of Turing patterns for morphogen-regulated growing domains with cellular response delays.
title_full The dynamics of Turing patterns for morphogen-regulated growing domains with cellular response delays.
title_fullStr The dynamics of Turing patterns for morphogen-regulated growing domains with cellular response delays.
title_full_unstemmed The dynamics of Turing patterns for morphogen-regulated growing domains with cellular response delays.
title_short The dynamics of Turing patterns for morphogen-regulated growing domains with cellular response delays.
title_sort dynamics of turing patterns for morphogen regulated growing domains with cellular response delays
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